Thomas J. Caperna

98 papers receiving 2.2k citations

Peers

Thomas J. Caperna
Comparison fields: 5 of 105
  • Animal Science and Zoology 463
  • Hepatology 201
  • Small Animals 153
  • Agronomy and Crop Science 174
  • Endocrinology, Diabetes and Metabolism 242
Replace Ming Yang with:
Ming Yang China
Kui Li China
Ted H. Elsasser United States
Toshiro Arai Japan
Nabil Halaihel Spain
Diane Wray‐Cahen United States
Bruno Cogliati Brazil
Fermı́n Lampreave Spain
Avi Shamay Israel
Thomas J. Caperna relative to Ming Yang China Ming Yang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Thomas J. Caperna

Since Specialization
Citations

This map shows the geographic impact of Thomas J. Caperna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Thomas J. Caperna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Caperna more than expected).

Fields of papers citing papers by Thomas J. Caperna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas J. Caperna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Thomas J. Caperna. The network helps show where Thomas J. Caperna may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas J. Caperna, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thomas J. Caperna Line = papers co-authored together Thomas J. Caperna links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005158
2 2000122
3 1988113
4 1989104
5 2006103
6 200698
7 200283
8 201472
9 200869
10 200759
11 199553
12 199646
13 201243
14 200643
15 200739
16 200338
17 198838
18 199137
19 199030
20 199429

About Thomas J. Caperna

Thomas J. Caperna is a scholar working on Molecular Biology, Physiology, Surgery, Hepatology and Animal Science and Zoology, having authored 98 papers that have together received 2.3k indexed citations. Recurring topics across this work include Liver physiology and pathology (16 papers), Adipose Tissue and Metabolism (15 papers), Pancreatic function and diabetes (14 papers), Animal Nutrition and Physiology (14 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Pluripotent Stem Cells Research (10 papers), Muscle metabolism and nutrition (9 papers) and Animal Behavior and Welfare Studies (7 papers). The work is most often cited by research in Animal Science and Zoology (463 citations), Hepatology (201 citations), Small Animals (153 citations), Agronomy and Crop Science (174 citations) and Endocrinology, Diabetes and Metabolism (242 citations). Thomas J. Caperna has collaborated with scholars based in United States, Morocco and Spain. Frequent co-authors include Wesley M. Garrett, Neil C. Talbot, N. C. Steele, Savithiry Natarajan, Chenping Xu, R. G. Campbell, Matia B. Solomon, John P. McMurtry, Andrew D. Mitchell and Theodore H. Elsasser. Their work appears in journals such as Journal of Animal Science, Domestic Animal Endocrinology, In Vitro Cellular & Developmental Biology - Animal, Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology and animal.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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